Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 13, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

Refined Deformable-DETR for Electric Pylon Detection Based on Optical Satellite Image.

Jun Yang1,2, Yu Sun1,2, Yingjun Zhao1,2

  • 1Beijing Research Institute of Uranium Geology, Beijing 100029, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

SRDFNet: Semantic Refinement and Differential Features for High-Resolution Change Detection.

Sensors (Basel, Switzerland)·2026
Same author

Clinical outcomes of drug-coated balloons <i>vs.</i> drug-eluting stents for coronary chronic total occlusion: a retrospective cohort study.

Cardiovascular diagnosis and therapy·2026
Same author

Vespakinin-M delineates an AMPK/mTOR-arginine-TCA cycle axis to act as an immunometabolic switch in post-stroke microglia.

Redox biology·2026
Same author

Integrated spatial and single‑cell transcriptomics maps disulfidptosis in renal cell carcinoma and reveals PDLIM1 as a prognostic biomarker and potential therapeutic target.

Translational oncology·2026
Same author

Generating Microglia-Integrated Cortical Organoids from Human Embryonic Stem Cells.

Stem cell reviews and reports·2026
Same author

[Analysis of epidemiological features and prognostic risk factors in septic shock].

Zhonghua wei zhong bing ji jiu yi xue·2026

This study introduces a new method for automatically detecting electric pylons in remote sensing images, improving accuracy in complex environments. The refined framework enhances object query representations for better powerline monitoring.

Area of Science:

  • Computer Vision
  • Remote Sensing Technology
  • Artificial Intelligence

Background:

  • Automatic electric pylon detection is crucial for powerline monitoring.
  • Challenges include complex backgrounds, small targets, and variable pylon-shadow structures.

Purpose of the Study:

  • To enhance electric pylon detection in optical remote sensing imagery.
  • To improve the accuracy and robustness of Transformer-based detection models.

Main Methods:

  • Proposed a Refined Deformable-DETR framework.
  • Introduced a Spatial Context-aware Query Modulation (SCQM) module.
  • SCQM aggregates image context and recalibrates object queries.

Main Results:

  • Improved Average Precision (AP) from 72.7% to 74.1% on the EPRD dataset.
Keywords:
electric pylon detectionoptical satellite imagequery modulationrefined deformable-DETR

Related Experiment Videos

Last Updated: Jun 13, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

  • Enhanced APs (small objects) from 47.2% to 50.9% on the EPRD dataset.
  • Demonstrated generalization capability on the public EPD dataset.

    • Conclusions:

    • Context-aware query modulation effectively enhances Transformer-based electric pylon detection.
    • The SCQM module improves performance in complex remote sensing scenarios.
    • The proposed method offers a significant advancement for powerline infrastructure monitoring.